Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.04156
Cited By
v1
v2
v3 (latest)
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2020
11 February 2020
Jinhyun So
Başak Güler
A. Avestimehr
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning"
50 / 105 papers shown
One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT
Imraul Emmaka
Tran Viet Xuan Phuong
131
0
0
28 Nov 2025
Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing
Shun Takagi
Satoshi Hasegawa
FedML
172
0
0
10 Sep 2025
Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience
Xiang Zhang
Zhou Li
Shuangyang Li
Kai Wan
Derrick Wing Kwan Ng
Giuseppe Caire
FedML
216
7
0
01 Aug 2025
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Maximilian Egger
Rawad Bitar
313
0
0
11 Jun 2025
Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation
C. Sabater
Sonia Ben Mokhtar
J. Ramon
FedML
266
0
0
04 Jun 2025
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
Xavier Martínez-Luaña
M. Fernández-Veiga
R. Redondo
Ana Fernández Vilas
FedML
243
0
0
10 May 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Maximilian Egger
Rüdiger Urbanke
Rawad Bitar
FedML
345
1
0
29 Apr 2025
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
Xiang Zhang
Zhou Li
Kai Wan
Hua Sun
Mingyue Ji
Giuseppe Caire
623
15
0
06 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models
Proceedings on Privacy Enhancing Technologies (PoPETs), 2025
Jiang Zhang
Rohan Sequeira
Konstantinos Psounis
SyDa
380
0
0
05 Mar 2025
Secure Aggregation in Federated Learning using Multiparty Homomorphic Encryption
Erfan Hosseini
Shuangyi Chen
Ashish Khisti
FedML
206
1
0
01 Mar 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024
Runhua Xu
Bo Li
Chao Li
J. Joshi
Shuai Ma
Jianxin Li
FedML
406
32
0
10 Jan 2025
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing
Qingqing Ren
Wen Wang
Shuyong Zhu
Zhiyuan Wu
Yujun Zhang
327
0
0
02 Jan 2025
Trustworthy Federated Learning: Privacy, Security, and Beyond
Knowledge and Information Systems (KAIS), 2024
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
342
64
0
03 Nov 2024
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing
Alexander Bienstock
Ujjwal Kumar
Antigoni Polychroniadou
FedML
512
0
0
21 Oct 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning
Kun Wang
Yi-Rui Yang
Wu-Jun Li
224
2
0
05 Jun 2024
Differentially Private Federated Learning without Noise Addition: When is it Possible?
Jiang Zhang
Konstantinos Psounis
FedML
463
0
0
06 May 2024
The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape
ACM Computing Surveys (ACM CSUR), 2024
Joshua C. Zhao
Saurabh Bagchi
A. Avestimehr
Kevin S. Chan
Somali Chaterji
Dimitris Dimitriadis
Jiacheng Li
Ninghui Li
Arash Nourian
Holger Roth
FedML
167
0
0
06 May 2024
FastLloyd: Federated, Accurate, Secure, and Tunable
k
k
k
-Means Clustering with Differential Privacy
Abdulrahman Diaa
Thomas Humphries
Florian Kerschbaum
FedML
532
2
0
03 May 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
529
5
0
19 Apr 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
Haotian Xu
Zhaorui Zhang
Sheng Di
Benben Liu
Khalid Ayedh Alharthi
Jiannong Cao
FedML
330
24
0
17 Apr 2024
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
Yizhen Dong
Yingjie Wang
Mariana Gama
Mustafa A. Mustafa
Geert Deconinck
Xiaowei Huang
150
12
0
02 Feb 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
Zhifeng Jiang
Peng Ye
Shiqi He
Wei Wang
Ruichuan Chen
Bo Li
422
6
0
05 Jan 2024
Federated learning with differential privacy and an untrusted aggregator
Kunlong Liu
Trinabh Gupta
324
3
0
17 Dec 2023
AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning Without Compromise
Siqing Zhang
Yong Liao
Pengyuan Zhou
FedML
260
4
0
08 Dec 2023
λ-SecAgg: Partial Vector Freezing for Lightweight Secure Aggregation in Federated Learning
Siqing Zhang
Yong Liao
Pengyuan Zhou
399
0
0
08 Dec 2023
Federated Learning on Edge Sensing Devices: A Review
Berrenur Saylam
Ozlem Durmaz Incel
279
4
0
02 Nov 2023
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection
S. Kadhe
Heiko Ludwig
Nathalie Baracaldo
Alan King
Yi Zhou
...
Ryo Kawahara
Nir Drucker
Hayim Shaul
Eyal Kushnir
Omri Soceanu
FedML
233
5
0
30 Oct 2023
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Yiping Ma
Jess Woods
Sebastian Angel
Antigoni Polychroniadou
T. Rabin
FedML
380
91
0
19 Aug 2023
LISA: LIghtweight single-server Secure Aggregation with a public source of randomness
Elina van Kempen
Qifei Li
G. Marson
Claudio Soriente
220
5
0
04 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis
Conference on Computer and Communications Security (CCS), 2023
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
498
20
0
27 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
355
46
0
20 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
ACM Computing Surveys (ACM Comput. Surv.), 2023
Huiqiang Chen
Tianqing Zhu
Tao Zhang
Wanlei Zhou
Philip S. Yu
FedML
334
84
0
25 Jun 2023
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning
Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Ghada Almashaqbeh
Zahra Ghodsi
FedML
234
5
0
12 Jun 2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
International Conference on Machine Learning (ICML), 2023
Junyi Zhu
Ruicong Yao
Matthew B. Blaschko
FedML
318
17
0
31 May 2023
FSSA: Efficient 3-Round Secure Aggregation for Privacy-Preserving Federated Learning
Fucai Luo
Saif M. Al-Kuwari
Haiyan Wang
Xingfu Yan
105
2
0
22 May 2023
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
330
19
0
19 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
IACR Cryptology ePrint Archive (IACR ePrint), 2023
Songze Li
Duanyi Yao
Jin Liu
FedML
433
49
0
26 Apr 2023
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Joshua C. Zhao
Atul Sharma
A. Elkordy
Yahya H. Ezzeldin
Salman Avestimehr
S. Bagchi
AAML
FedML
231
62
0
21 Mar 2023
Efficient and Secure Federated Learning for Financial Applications
Applied Sciences (Appl. Sci.), 2023
Tao Liu
Zhi Wang
Hui He
Wei Shi
Liangliang Lin
Wei Shi
Ran An
Chenhao Li
FedML
193
41
0
15 Mar 2023
OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols
Ivoline C. Ngong
Nicholas J. Gibson
Joseph P. Near
307
2
0
20 Feb 2023
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Giuseppe Caire
FedML
469
11
0
20 Feb 2023
Private Federated Submodel Learning via Private Set Union
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Zhusheng Wang
S. Ulukus
FedML
243
9
0
18 Jan 2023
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training
IEEE Transactions on Network and Service Management (IEEE TNSM), 2022
Quan Nguyen
Hieu H. Pham
Kok-Seng Wong
Phi Le Nguyen
Truong Thao Nguyen
Minh N. Do
FedML
332
11
0
20 Nov 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation
Y. Ben-Itzhak
Helen Mollering
Benny Pinkas
T. Schneider
Ajith Suresh
Oleksandr Tkachenko
S. Vargaftik
Christian Weinert
Hossein Yalame
Avishay Yanai
284
11
0
13 Oct 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Neural Information Processing Systems (NeurIPS), 2022
Jiawei Shao
Yuchang Sun
Songze Li
Jun Zhang
OOD
288
55
0
06 Oct 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
European Conference on Computer Systems (EuroSys), 2022
Zhifeng Jiang
Wei Wang
Ruichuan Chen
386
17
0
26 Sep 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Proceedings of the VLDB Endowment (PVLDB), 2022
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
342
40
0
11 Sep 2022
Towards Federated Learning against Noisy Labels via Local Self-Regularization
International Conference on Information and Knowledge Management (CIKM), 2022
Xue Jiang
Sheng Sun
Yuwei Wang
Min Liu
239
56
0
25 Aug 2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network
Jingcai Guo
Song Guo
Jie Zhang
Ziming Liu
FedML
300
15
0
21 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
FedML
318
20
0
16 Aug 2022
1
2
3
Next
Page 1 of 3
